Enterprise Financial Services (EFSC) Gains (Losses) on Sale of Assets & Investments (2009 - 2019)
Enterprise Financial Services (EFSC) reported Gains (Losses) on Sale of Assets & Investments of $66,000 for Q1 2019.
Powered by 
Analysis
Enterprise Financial Services (EFSC) Gains (Losses) on Sale of Assets & Investments (2009 - 2019) Analysis & Trends
Over the twelve months ended Mar 31, 2019, Enterprise Financial Services' Gains (Losses) on Sale of Assets & Investments came in at $79,000, down 15.1% year-over-year; for FY2018, it was $13,000, down 86.0% from FY2017.
- Gains (Losses) on Sale of Assets & Investments has a five-year compound annual growth rate of -67.1% (FY2013 to FY2018).
- By year, Gains (Losses) on Sale of Assets & Investments came in at $93,000 in FY2017 (-94.9%), $1.84 million in FY2016, $142,000 in FY2015 (-90.7%) and $1.53 million in FY2014 (-54.5%).
- The Q1 2019 figure ranks as the highest quarterly Gains (Losses) on Sale of Assets & Investments since Q4 2017.
- The high point for year-over-year Gains (Losses) on Sale of Assets & Investments in five years was Q1 2016 (growth of 510.0%); the low point was Q4 2014 (a decline of 99.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gains on Sales (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 20.80 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 5.10 Mn |
| 10 | Enterprise Financial Services | 2.23 Bn | -4.32 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | -18,000.00 |
| Mar 31, 2019 | 66,000.00 |
| Sep 30, 2018 | 13,000.00 |
| Dec 31, 2017 | 76,000.00 |
| Jun 30, 2017 | 17,000.00 |
| Dec 31, 2016 | 1.24 Mn |
| Sep 30, 2016 | -226,000.00 |
| Jun 30, 2016 | 706,000.00 |
| Mar 31, 2016 | 122,000.00 |
| Dec 31, 2015 | 81,000.00 |
| Sep 30, 2015 | 32,000.00 |
| Jun 30, 2015 | 9,000.00 |
| Mar 31, 2015 | 20,000.00 |
| Dec 31, 2014 | 17,000.00 |
| Sep 30, 2014 | 114,000.00 |
| Jun 30, 2014 | 717,000.00 |
| Mar 31, 2014 | 683,000.00 |
| Dec 31, 2013 | 1.80 Mn |
| Sep 30, 2013 | 472,000.00 |
| Jun 30, 2013 | 362,000.00 |
API Access
Enterprise Financial Services Gains (Losses) on Sale of Assets & Investments API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=non-operating-investment-income&ticker=EFSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-investment-income", "ticker": "EFSC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-investment-income&ticker=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();